Assistant Professor

UNC-Chapel Hill • Chapel Hill, NC

43d • Onsite

About The Position

The Department of Physics and Astronomy seeks to fill a tenure-track Assistant Professor position in astrophysics, with a focus on artificial intelligence and machine learning applied to large-scale astronomical data. The faculty member will establish and lead an independent, externally funded research program in this area, publish in peer-reviewed venues, and supervise graduate students and postdoctoral researchers. Research programs that will use the Argus Array are especially encouraged. The faculty member will teach undergraduate and graduate courses across the physics and astronomy curriculum, contribute to the Department’s developing curriculum in artificial intelligence and machine learning methods, and advise and mentor undergraduate, graduate, and postdoctoral researchers. The faculty member will also contribute service to the Department, the College, the University, and the profession.

Requirements

• Doctoral degree in Physics, Astronomy, or a related field.
• Record of independent research applying artificial intelligence and/or machine learning to large-scale astronomical datasets.
• Experience working with data from large astronomical surveys, including high-volume, high-cadence, or low-latency data streams.
• Strong record of peer-reviewed publication.
• Evidence of research independence and intellectual growth beyond doctoral work.
• Evidence of scientific potential, such as successful grant proposals, awards, successful observing-time proposals, or leadership roles within research collaborations.
• Experience in, and demonstrated commitment to, teaching and mentoring students at the undergraduate and graduate levels, including students of varied academic preparation.
• Potential to build research collaborations with existing programs in the Department and across the University.

Responsibilities

• Establish and lead an independent, externally funded research program in astrophysics, with a focus on artificial intelligence and machine learning applied to large-scale astronomical data.
• Publish research in peer-reviewed venues.
• Supervise graduate students and postdoctoral researchers.
• Teach undergraduate and graduate courses across the physics and astronomy curriculum.
• Contribute to the Department’s developing curriculum in artificial intelligence and machine learning methods.
• Advise and mentor undergraduate, graduate, and postdoctoral researchers.
• Contribute service to the Department, the College, the University, and the profession.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree